PANews reported on August 19th that SingularityNET released MetaMo, a unified formal framework for motivational systems for artificial general intelligence (AGI). Combining category theory, functional analysis, and topology, the frameworkPANews reported on August 19th that SingularityNET released MetaMo, a unified formal framework for motivational systems for artificial general intelligence (AGI). Combining category theory, functional analysis, and topology, the framework
SingularityNET Launches MetaMo, an AGI Motivation System Framework
PANews reported on August 19th that SingularityNET released MetaMo, a unified formal framework for motivational systems for artificial general intelligence (AGI). Combining category theory, functional analysis, and topology, the framework supports open-ended agents capable of self-modifying and evolving their own goals and drives. MetaMo aims to guide the design of stable and adaptable AGI systems that can safely perform incremental self-improvement, serve as trustworthy collaborators in multi-agent communities, and achieve scalability through parallel sub-agents.
Officials said MetaMo will provide guidance for designing stable and adaptable AGI systems and demonstrate its conceptual application through online research assistant examples.
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